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Artigo de periodico
Segmenting cellular retinal images by optimizing super-pixels, multi-level modularity, and cell boundary representation (2020)
Linares, Oscar Alonso Cuadros ; Hamann, Bernd ; Batista Neto, João do Espírito Santo
Source: IEEE Transactions on Image Processing. Unidade: ICMC
Subjects: PROCESSAMENTO DE IMAGENS, MICROSCOPIA CONFOCAL, RETINA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LINARES, Oscar Alonso Cuadros e HAMANN, Bernd e BATISTA NETO, João do Espírito Santo. Segmenting cellular retinal images by optimizing super-pixels, multi-level modularity, and cell boundary representation. IEEE Transactions on Image Processing, v. 29, p. 809-818, 2020Tradução . . Disponível em: https://doi.org/10.1109/TIP.2019.2936743. Acesso em: 04 jun. 2024.
APA
Linares, O. A. C., Hamann, B., & Batista Neto, J. do E. S. (2020). Segmenting cellular retinal images by optimizing super-pixels, multi-level modularity, and cell boundary representation. IEEE Transactions on Image Processing, 29, 809-818. doi:10.1109/TIP.2019.2936743
NLM
Linares OAC, Hamann B, Batista Neto J do ES. Segmenting cellular retinal images by optimizing super-pixels, multi-level modularity, and cell boundary representation [Internet]. IEEE Transactions on Image Processing. 2020 ; 29 809-818.[citado 2024 jun. 04 ] Available from: https://doi.org/10.1109/TIP.2019.2936743
Vancouver
Linares OAC, Hamann B, Batista Neto J do ES. Segmenting cellular retinal images by optimizing super-pixels, multi-level modularity, and cell boundary representation [Internet]. IEEE Transactions on Image Processing. 2020 ; 29 809-818.[citado 2024 jun. 04 ] Available from: https://doi.org/10.1109/TIP.2019.2936743
Artigo de periodico
An iterative spanning forest framework for superpixel segmentation (2019)
Muñoz, John Edgar Vargas ; Chowdhury, Ananda Shankar ; Alexandre, Eduardo Barreto; Galvao, Felipe L; Miranda, Paulo André Vechiatto de ; Falcão, Alexandre Xavier
Source: IEEE Transactions on Image Processing. Unidade: IME
Subjects: VISÃO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MUÑOZ, John Edgar Vargas et al. An iterative spanning forest framework for superpixel segmentation. IEEE Transactions on Image Processing, v. 28, n. 7, p. 3477-3489, 2019Tradução . . Disponível em: https://doi.org/10.1109/tip.2019.2897941. Acesso em: 04 jun. 2024.
APA
Muñoz, J. E. V., Chowdhury, A. S., Alexandre, E. B., Galvao, F. L., Miranda, P. A. V. de, & Falcão, A. X. (2019). An iterative spanning forest framework for superpixel segmentation. IEEE Transactions on Image Processing, 28( 7), 3477-3489. doi:10.1109/tip.2019.2897941
NLM
Muñoz JEV, Chowdhury AS, Alexandre EB, Galvao FL, Miranda PAV de, Falcão AX. An iterative spanning forest framework for superpixel segmentation [Internet]. IEEE Transactions on Image Processing. 2019 ; 28( 7): 3477-3489.[citado 2024 jun. 04 ] Available from: https://doi.org/10.1109/tip.2019.2897941
Vancouver
Muñoz JEV, Chowdhury AS, Alexandre EB, Galvao FL, Miranda PAV de, Falcão AX. An iterative spanning forest framework for superpixel segmentation [Internet]. IEEE Transactions on Image Processing. 2019 ; 28( 7): 3477-3489.[citado 2024 jun. 04 ] Available from: https://doi.org/10.1109/tip.2019.2897941
Artigo de periodico
Vessel optimal transport for automated alignment of retinal fundus images (2019)
Motta, Danilo Andrade ; Casaca, Wallace Correa de Oliveira ; Paiva, Afonso
Source: IEEE Transactions on Image Processing. Unidade: ICMC
Subjects: PROCESSAMENTO DE IMAGENS, FUNDO DE OLHO, OTIMIZAÇÃO RESTRITA, GRÁFICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOTTA, Danilo Andrade e CASACA, Wallace Correa de Oliveira e PAIVA, Afonso. Vessel optimal transport for automated alignment of retinal fundus images. IEEE Transactions on Image Processing, v. 28, n. 12, p. 6154-6168, 2019Tradução . . Disponível em: https://doi.org/10.1109/TIP.2019.2925287. Acesso em: 04 jun. 2024.
APA
Motta, D. A., Casaca, W. C. de O., & Paiva, A. (2019). Vessel optimal transport for automated alignment of retinal fundus images. IEEE Transactions on Image Processing, 28( 12), 6154-6168. doi:10.1109/TIP.2019.2925287
NLM
Motta DA, Casaca WC de O, Paiva A. Vessel optimal transport for automated alignment of retinal fundus images [Internet]. IEEE Transactions on Image Processing. 2019 ; 28( 12): 6154-6168.[citado 2024 jun. 04 ] Available from: https://doi.org/10.1109/TIP.2019.2925287
Vancouver
Motta DA, Casaca WC de O, Paiva A. Vessel optimal transport for automated alignment of retinal fundus images [Internet]. IEEE Transactions on Image Processing. 2019 ; 28( 12): 6154-6168.[citado 2024 jun. 04 ] Available from: https://doi.org/10.1109/TIP.2019.2925287
Artigo de periodico
A backprojection slice theorem for tomographic reconstruction (2018)
Miqueles, Eduardo; Koshev, Nikolay; Helou, Elias Salomão
Source: IEEE Transactions on Image Processing. Unidade: ICMC
Subjects: OTIMIZAÇÃO, OTIMIZAÇÃO COMBINATÓRIA, TOMOGRAFIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MIQUELES, Eduardo e KOSHEV, Nikolay e HELOU, Elias Salomão. A backprojection slice theorem for tomographic reconstruction. IEEE Transactions on Image Processing, v. Fe 2018, n. 2, p. 894-906, 2018Tradução . . Disponível em: https://doi.org/10.1109/TIP.2017.2766785. Acesso em: 04 jun. 2024.
APA
Miqueles, E., Koshev, N., & Helou, E. S. (2018). A backprojection slice theorem for tomographic reconstruction. IEEE Transactions on Image Processing, Fe 2018( 2), 894-906. doi:10.1109/TIP.2017.2766785
NLM
Miqueles E, Koshev N, Helou ES. A backprojection slice theorem for tomographic reconstruction [Internet]. IEEE Transactions on Image Processing. 2018 ; Fe 2018( 2): 894-906.[citado 2024 jun. 04 ] Available from: https://doi.org/10.1109/TIP.2017.2766785
Vancouver
Miqueles E, Koshev N, Helou ES. A backprojection slice theorem for tomographic reconstruction [Internet]. IEEE Transactions on Image Processing. 2018 ; Fe 2018( 2): 894-906.[citado 2024 jun. 04 ] Available from: https://doi.org/10.1109/TIP.2017.2766785
Artigo de periodico
Accelerating overrelaxed and monotone fast iterative shrinkage-thresholding algorithms with line search for sparse reconstructions (2017)
Zibetti, Marcelo V. W; Helou, Elias Salomão ; Pipa, Daniel R
Source: IEEE Transactions on Image Processing. Unidade: ICMC
Subjects: OTIMIZAÇÃO, OTIMIZAÇÃO COMBINATÓRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ZIBETTI, Marcelo V. W e HELOU, Elias Salomão e PIPA, Daniel R. Accelerating overrelaxed and monotone fast iterative shrinkage-thresholding algorithms with line search for sparse reconstructions. IEEE Transactions on Image Processing, v. 26, n. 7, p. 3569-3578, 2017Tradução . . Disponível em: https://doi.org/10.1109/TIP.2017.2699483. Acesso em: 04 jun. 2024.
APA
Zibetti, M. V. W., Helou, E. S., & Pipa, D. R. (2017). Accelerating overrelaxed and monotone fast iterative shrinkage-thresholding algorithms with line search for sparse reconstructions. IEEE Transactions on Image Processing, 26( 7), 3569-3578. doi:10.1109/TIP.2017.2699483
NLM
Zibetti MVW, Helou ES, Pipa DR. Accelerating overrelaxed and monotone fast iterative shrinkage-thresholding algorithms with line search for sparse reconstructions [Internet]. IEEE Transactions on Image Processing. 2017 ; 26( 7): 3569-3578.[citado 2024 jun. 04 ] Available from: https://doi.org/10.1109/TIP.2017.2699483
Vancouver
Zibetti MVW, Helou ES, Pipa DR. Accelerating overrelaxed and monotone fast iterative shrinkage-thresholding algorithms with line search for sparse reconstructions [Internet]. IEEE Transactions on Image Processing. 2017 ; 26( 7): 3569-3578.[citado 2024 jun. 04 ] Available from: https://doi.org/10.1109/TIP.2017.2699483
Artigo de periodico
Hybrid approaches for interactive image segmentation using the live markers paradigm (2014)
Spina, Thiago Vallin; Falcão, Alexandre Xavier; Miranda, Paulo André Vechiatto de
Source: IEEE Transactions on Image Processing. Unidade: IME
Subjects: PROCESSAMENTO DE IMAGENS, VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SPINA, Thiago Vallin e FALCÃO, Alexandre Xavier e MIRANDA, Paulo André Vechiatto de. Hybrid approaches for interactive image segmentation using the live markers paradigm. IEEE Transactions on Image Processing, v. 23, n. 12, p. 5756-5769, 2014Tradução . . Disponível em: https://doi.org/10.1109/TIP.2014.2367319. Acesso em: 04 jun. 2024.
APA
Spina, T. V., Falcão, A. X., & Miranda, P. A. V. de. (2014). Hybrid approaches for interactive image segmentation using the live markers paradigm. IEEE Transactions on Image Processing, 23( 12), 5756-5769. doi:10.1109/TIP.2014.2367319
NLM
Spina TV, Falcão AX, Miranda PAV de. Hybrid approaches for interactive image segmentation using the live markers paradigm [Internet]. IEEE Transactions on Image Processing. 2014 ; 23( 12): 5756-5769.[citado 2024 jun. 04 ] Available from: https://doi.org/10.1109/TIP.2014.2367319
Vancouver
Spina TV, Falcão AX, Miranda PAV de. Hybrid approaches for interactive image segmentation using the live markers paradigm [Internet]. IEEE Transactions on Image Processing. 2014 ; 23( 12): 5756-5769.[citado 2024 jun. 04 ] Available from: https://doi.org/10.1109/TIP.2014.2367319
Artigo de periodico
Oriented image foresting transform segmentation by seed competition (2014)
Miranda, Paulo André Vechiatto de ; Mansilla, Lucy Alsina Choque
Source: IEEE Transactions on Image Processing. Unidade: IME
Subjects: ALGORITMOS GRÁFICOS, COMPUTAÇÃO GRÁFICA, COMPUTAÇÃO APLICADA, FUZZY (INTELIGÊNCIA ARTIFICIAL)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MIRANDA, Paulo André Vechiatto de e MANSILLA, Lucy Alsina Choque. Oriented image foresting transform segmentation by seed competition. IEEE Transactions on Image Processing, v. 23, n. 1, p. 389-398, 2014Tradução . . Disponível em: https://doi.org/10.1109/TIP.2013.2288867. Acesso em: 04 jun. 2024.
APA
Miranda, P. A. V. de, & Mansilla, L. A. C. (2014). Oriented image foresting transform segmentation by seed competition. IEEE Transactions on Image Processing, 23( 1), 389-398. doi:10.1109/TIP.2013.2288867
NLM
Miranda PAV de, Mansilla LAC. Oriented image foresting transform segmentation by seed competition [Internet]. IEEE Transactions on Image Processing. 2014 ; 23( 1): 389-398.[citado 2024 jun. 04 ] Available from: https://doi.org/10.1109/TIP.2013.2288867
Vancouver
Miranda PAV de, Mansilla LAC. Oriented image foresting transform segmentation by seed competition [Internet]. IEEE Transactions on Image Processing. 2014 ; 23( 1): 389-398.[citado 2024 jun. 04 ] Available from: https://doi.org/10.1109/TIP.2013.2288867
Artigo de periodico
Riverbed: a novel user-steered image segmentation method based on optimum boundary tracking (2012)
Miranda, Paulo André Vechiatto de ; Falcão, Alexandre Xavier; Spina, Thiago V
Source: IEEE Transactions on Image Processing. Unidade: IME
Assunto: PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MIRANDA, Paulo André Vechiatto de e FALCÃO, Alexandre Xavier e SPINA, Thiago V. Riverbed: a novel user-steered image segmentation method based on optimum boundary tracking. IEEE Transactions on Image Processing, v. 21, n. 6, p. 3042\20133052, 2012Tradução . . Disponível em: https://doi.org/10.1109/TIP.2012.2188034. Acesso em: 04 jun. 2024.
APA
Miranda, P. A. V. de, Falcão, A. X., & Spina, T. V. (2012). Riverbed: a novel user-steered image segmentation method based on optimum boundary tracking. IEEE Transactions on Image Processing, 21( 6), 3042\20133052. doi:10.1109/TIP.2012.2188034
NLM
Miranda PAV de, Falcão AX, Spina TV. Riverbed: a novel user-steered image segmentation method based on optimum boundary tracking [Internet]. IEEE Transactions on Image Processing. 2012 ; 21( 6): 3042\20133052.[citado 2024 jun. 04 ] Available from: https://doi.org/10.1109/TIP.2012.2188034
Vancouver
Miranda PAV de, Falcão AX, Spina TV. Riverbed: a novel user-steered image segmentation method based on optimum boundary tracking [Internet]. IEEE Transactions on Image Processing. 2012 ; 21( 6): 3042\20133052.[citado 2024 jun. 04 ] Available from: https://doi.org/10.1109/TIP.2012.2188034
Artigo de periodico
Morse operators for digital planar surfaces and their application to image segmentation (2004)
Nonato, Luis Gustavo ; Castelo, Antonio ; Minghim, Rosane ; Batista Neto, João do Espírito Santo
Source: IEEE Transactions on Image Processing. Unidade: ICMC
Assunto: MATEMÁTICA DA COMPUTAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NONATO, Luis Gustavo et al. Morse operators for digital planar surfaces and their application to image segmentation. IEEE Transactions on Image Processing, v. 13, n. 2, p. 216-227, 2004Tradução . . Acesso em: 04 jun. 2024.
APA
Nonato, L. G., Castelo, A., Minghim, R., & Batista Neto, J. do E. S. (2004). Morse operators for digital planar surfaces and their application to image segmentation. IEEE Transactions on Image Processing, 13( 2), 216-227.
NLM
Nonato LG, Castelo A, Minghim R, Batista Neto J do ES. Morse operators for digital planar surfaces and their application to image segmentation. IEEE Transactions on Image Processing. 2004 ; 13( 2): 216-227.[citado 2024 jun. 04 ]
Vancouver
Nonato LG, Castelo A, Minghim R, Batista Neto J do ES. Morse operators for digital planar surfaces and their application to image segmentation. IEEE Transactions on Image Processing. 2004 ; 13( 2): 216-227.[citado 2024 jun. 04 ]
Artigo de periodico
Binary halftone image resolution increasing by decision tree learning (2004)
Hae, Yong Kim
Source: IEEE Transactions on Image Processing. Unidade: EP
Subjects: PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HAE, Yong Kim. Binary halftone image resolution increasing by decision tree learning. IEEE Transactions on Image Processing, v. 143, n. 8, p. 1136-1146, 2004Tradução . . Disponível em: https://doi.org/10.1109/tip.2004.828424. Acesso em: 04 jun. 2024.
APA
Hae, Y. K. (2004). Binary halftone image resolution increasing by decision tree learning. IEEE Transactions on Image Processing, 143( 8), 1136-1146. doi:10.1109/tip.2004.828424
NLM
Hae YK. Binary halftone image resolution increasing by decision tree learning [Internet]. IEEE Transactions on Image Processing. 2004 ; 143( 8): 1136-1146.[citado 2024 jun. 04 ] Available from: https://doi.org/10.1109/tip.2004.828424
Vancouver
Hae YK. Binary halftone image resolution increasing by decision tree learning [Internet]. IEEE Transactions on Image Processing. 2004 ; 143( 8): 1136-1146.[citado 2024 jun. 04 ] Available from: https://doi.org/10.1109/tip.2004.828424

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